Table 3:
The effect of fine-tuning GaLM* with GNNs on stitched application graphs.
| Models | Search-CTR | ESCvsI | Query2PT |
|---|---|---|---|
| (ROC-AUC) | (macro-F1) | (macro-F1) | |
| 4.46% | 4.96% | 61.06% | |
| 17.49% | 10.89% | 66.50% | |
| 13.38% | 8.19% | 76.39% | |
| 20.37% | 13.35% | 80.06% |
The effect of fine-tuning GaLM* with GNNs on stitched application graphs.
| Models | Search-CTR | ESCvsI | Query2PT |
|---|---|---|---|
| (ROC-AUC) | (macro-F1) | (macro-F1) | |
| 4.46% | 4.96% | 61.06% | |
| 17.49% | 10.89% | 66.50% | |
| 13.38% | 8.19% | 76.39% | |
| 20.37% | 13.35% | 80.06% |